Senior AI/ML Engineer || Texas || LGL Technologies

Position: Senior AI/ML Engineer
Location: Texas
Experience Level: 8+ Years
Work Authorization: Open to all

Mode: W2 only

About the Role:

We are seeking a highly skilled Senior AI/ML Engineer to join our data science team in Texas. In this role, you'll take the lead in designing and implementing machine learning and generative AI models that directly impact our product roadmap and customer experience. You'll work closely with data engineers, product managers, and software developers to bring AI solutions from concept to production at scale.

This role is ideal for someone who thrives in a hands-on technical environment and has a solid foundation in AI, deep learning, and ML Ops, with a sharp focus on real-world applications of LLMs and generative models.

Responsibilities:

• Design, build, and deploy end-to-end AI/ML pipelines - from data ingestion to model deployment and monitoring.
• Apply advanced ML and deep learning techniques to solve complex problems in NLP, vision, recommendation systems, and LLM fine-tuning.
• Work on custom generative AI applications using frameworks like LangChain, LlamaIndex, and Retrieval-Augmented Generation (RAG).
• Collaborate with cross-functional teams to align AI/ML initiatives with business goals and product requirements.
• Build reusable components for data preprocessing, feature engineering, model training, evaluation, and deployment.
• Leverage cloud platforms (AWS/Google Cloud Platform/Azure) and containerization tools (Docker, Kubernetes) for scalable ML model deployment.
• Own the experimentation process, from hypothesis formulation and validation to A/B testing and model refinement.
• Mentor junior team members and contribute to establishing best practices in ML engineering and code quality.

Required Skills & Qualifications:

• 8+ years of experience in AI/ML/Data Science, with proven production-level deployments.
• Strong hands-on experience with Python, TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, and LangChain.
• Deep knowledge of machine learning algorithms, neural networks, LLMs, and generative AI models (GPT, BERT, LLaMA, etc.).
• Expertise in building and optimizing ML pipelines with tools like Airflow, MLflow, or Kubeflow.
• Experience with cloud services like AWS SageMaker, Google Cloud Platform Vertex AI, or Azure ML.
• Solid understanding of data structures, algorithms, and software engineering principles.
• Working knowledge of SQL and NoSQL databases, and data handling frameworks like Pandas, Spark, or Dask.
• Experience with MLOps, CI/CD pipelines, and monitoring production models.
• Strong communication skills with the ability to translate complex technical concepts for stakeholders.

Nice-to-Haves:

• Experience with RAG pipelines, vector databases like FAISS or Pinecone, and tools like Weaviate.
• Contributions to open-source ML/AI projects or published research.
• Prior experience in healthcare, fintech, retail, or similar regulated domains.
• Exposure to privacy-preserving ML and responsible AI practices.

LGL Tech is a trusted technology partner specializing in Software Development, Product Engineering, and IT Services. We provide comprehensive solutions and strategic advisory services to businesses worldwide, from mid-market enterprises to Fortune 100 companies.

With expertise in ERP, SaaS, AI/ML, cloud computing, infrastructure management, and cybersecurity, we help businesses modernize operations, streamline processes, and drive digital transformation.

Balancing innovation with managing legacy systems and mitigating security risks is critical in today s digital world. LGL Tech delivers tailored software solutions, scalable IT services, and strategic technology approaches that accelerate growth and ensure long-term success.